A Second Foundationv0.5.9
Live documentUpdated April 18, 2026

The Living Formula

Version v0.5.9 · 18 parameters · 36 open caveats · confidence 5.5/10

dP(S_t, t)/dt = -∇·[A(S, Θ, G_t, I_t)·P] + ½∇²:[D(S, Θ, G_t)·P] + J[P]
Fokker–Planck equation with jump process · v0.5.9

The Equation, Explained

A Fokker–Planck equation with jump process. This describes how a probability distribution over civilization states evolves over time — with drift (predictable trends), diffusion (random fluctuations), and jumps (crises and collapses).

dP(S_t, t)/dt = -∇·[A(S, Θ, G_t, I_t)·P] + ½∇²:[D(S, Θ, G_t)·P] + J[P]
Fokker–Planck equation with jump process · v0.5.9
dP(S_t, t)/dtThe rate of change of the probability distribution over civilization states over time
P(S_t, t)The probability distribution over all possible macro-states S at time t
S_tThe macro-state vector — 8 dimensions describing a civilization at time t: population (n), wage share (w), elite fraction (e), debt ratio (d), urbanization (U), polarization (π), institutional trust (T), network connectivity (κ)
A(S, Θ, G_t, I_t)The drift vector — how the civilization tends to move, given parameters Θ, network topology G, and institutions I
D(S, Θ, G_t)The diffusion tensor — uncertainty and random fluctuations, how much noise affects each dimension
J[P]The jump process — sudden discontinuous changes (crises, collapses, revolutions) governed by the Psi stress index
ΘThe full parameter set: micro behavioral constants + cultural variables
G_tThe network topology at time t — how ideas, fear, and influence propagate
I_tThe institutional vector — 5 dimensions: regime type (R), veto players (V), bureaucratic capacity (B), propaganda effectiveness (P), external constraints (X)

The 8-Dimensional State Vector S_t

n

relative population (demographic pressure)

w

wage share of GDP (labor vs. capital distribution)

e

elite fraction (overproduction indicator)

d

debt-to-GDP ratio (fiscal fragility)

U

urbanization rate

π

political polarization index

T

institutional trust (0–1)

κ

network connectivity (information propagation)

Layer Contributions

Layer 1 — Micro-Foundation

Defines the 'particle parameters' Θ — probability distributions governing individual human choice. Loss aversion, temporal discounting, conformity pressure, authority deference, in-group favoritism. These parameters feed into the drift equations as behavioral constants.

Behavioral NeuroscientistEvolutionary Psychologist

Θ = {λ, β_td, γ_conf, α_auth, γ_status, ...}

Layer 2 — Meso-Structure

Defines how individual parameters aggregate into collective dynamics. Network topology G_t determines cascade thresholds and propagation speeds. The computational sociologist identifies the drift equations A_1, A_2, A_3 describing population, wage, and elite dynamics through the limit-cycle (Turchin secular cycle) framework.

Network ScientistComputational Sociologist

G_t = (N_t, E_t, w_ij, c_ij, φ_i)

Layer 3 — Macro-Dynamics

Supplies the empirical backbone — historical patterns that the formula must reproduce, economic power laws (Pareto distributions, debt cycles), and the institutional vector I_t that modulates drift through regime type, veto players, and bureaucratic capacity.

EconophysicistCliodynamicistPolitical Scientist

I_t = (R_t, V_t, B_t, P_t, X_t)

Layer 4 — Formalization

Builds the mathematical backbone: the Fokker–Planck equation with jump process, the Ito-corrected PSI stress index, diffusion tensor, and the Bayesian confidence architecture that converts model outputs into honest probabilistic forecasts with calibrated intervals.

Statistical PhysicistBayesian Statistician

Ψ = MMP × EMP × SFD (Ito-corrected)

Cross-Cutting — Epistemology

Attacks every output for curve-fitting masquerading as theory. Enforces falsifiability requirements, detects circular validation, distinguishes causal from correlational claims, and approves or rejects every formula update. No version of CURRENT.md can be committed without philosopher approval.

Philosopher of Science

Verdict ∈ {APPROVE, APPROVE_WITH_CAVEATS, REJECT}

Parameters (18)

Every parameter with its current estimate, confidence, and layer origin. Parameters marked with open disputes need further validation.

SymbolNameValueLayerConfidenceSources
λ

Loss aversion coefficient

LogNormal(0.55, 0.35)micro
72%
8
β_td

Temporal discount factor

Beta(6, 2)micro
68%
6
γ_conf

Conformity pressure

sigmoid(x; 0.3, 3.5)micro
65%
5
α_auth

Authority deference

1 open dispute(s)

0.61 ± 0.12 (HYBRID floor+overlay)micro
55%
7
c_coop

Cooperation frequency invariant

0.613 ± 0.089micro
82%
12
γ_ig

In-group favoritism

0.58 ± 0.15micro
70%
9
α_pareto

Pareto wealth exponent

1 open dispute(s)

1.5 ± 0.3 (fat tail)macro
75%
14
T_ineq

Inequality accumulation timescale

1 open dispute(s)

~125 yrmacro
52%
6
T_secular

Secular cycle period

1 open dispute(s)

[150, 265] yr (damped-spiral interpretation)macro
62%
11
E_threshold

Elite overproduction threshold

0.015 (1.5% of population)macro
60%
7
λ_0

Jump rate baseline

1 open dispute(s)

0.015/yrformalize
40%
8
Ψ_threshold

PSI crisis threshold

1 open dispute(s)

0.7formalize
45%
9
k_jump

Jump rate exponential sensitivity

2 open dispute(s)

LogNormal(log(2.5), 0.4)formalize
38%
5
η_pareto

Tempered-Pareto diffusion coupling

2 open dispute(s)

LogNormal(log(0.5), 0.8) — PROVISIONALformalize
25%
3
b_min

Subsistence wage regularization floor

1 open dispute(s)

0.03 (revised from 0.05)formalize
50%
4
β_U

Urbanization convergence rate

1 open dispute(s)

0.020/yrmacro
40%
5
π_path

Institutional path dependence

0.96macro
65%
8
δ_prop

Propaganda effectiveness

Beta(2, 5) → mean 0.28macro
55%
6

Version History (15 updates)

v0.5.9April 18, 2026Approved with caveatsBayesian Statistician

OVERFITTING REGIME FORMALLY DIAGNOSED: p≈42 free parameters, n_eff≈6–14 independent observations. Practical R² ceiling ≈0.05–0.15 at 1yr horizon. PARAMETER FREEZE enacted (net-zero budget — nothing new without retiring existing). Prior catalog expanded 20→27. Circular audit expanded 4→7 parameters; all 4 fully circular params concentrated in the jump process J[P]. b_min revised 0.05→0.03; k_jump recalibrated 3.0→2.5 (preliminary non-Turchin MLE). 3-tier out-of-sample validation protocol (LOOCV / Blocked-CV / CPCV) designed. Epistemological confidence revised down 5.8→5.5/10. No new Polymarket predictions — internal moratorium until calibration improves.

v0.5.8April 16, 2026Approved with caveatsCliodynamicist

C13-1 STRUCTURALLY RESOLVED: 6 independent non-Turchin cases (Mughal, Meiji, Iran, Weimar, Rwanda, Spain) — 6 PASS / 2 PARTIAL / 0 FAIL. β_U = 0.020/yr defined: 8/8 drift coefficients now have estimates. Zone-conditional PSI validity framework.

v0.5.7April 16, 2026Self-approvedPhilosopher of Science

FIRST PHILOSOPHER LEAD SESSION. Falsifiability 6/10; overfitting risk MODERATE-HIGH. 5 formula changes: scope boundary, PSI causal note, circular flags, rho_DA/chi_horm to Theoretical Scaffolding, Venezuela reclassified.

v0.5.6April 15, 2026Approved with caveatsStatistical Physicist

C7-1 PSI ITO RESOLVED (12-session journey). Full dΨ SDE derived, sympy-verified. Novel w=0.5 sign-change prediction. CROSS-013 downgraded CRITICAL→HIGH. Period revised [150, 265]yr.

v0.5.5April 14, 2026Approved with caveatsStatistical Physicist

F_pol (A_6 polarization drift) APPROVED with surgical fixes. Limit-cycle period FORMALIZED [165, 327]yr envelops empirical [160, 335]yr.

v0.5.4April 11, 2026Approved with caveatsComputational Sociologist

Limit-cycle reframe APPROVED: Turchin phases are quadrants of ONE limit cycle (Hopf bifurcation). Period discrepancy mechanism identified (3 factors). FINAL BOOTSTRAP SESSION.

v0.5.3April 10, 2026Approved with caveatsEconophysicist

All Section A defined: α_pareto=1.5, α_tail=3.0, m_crash=0.33, T_debt 7yr/75yr, T_ineq~125yr. 5/6 drift coefficients specified. α_tail~3 validates FP+jump architecture.

v0.5.2April 9, 2026Approved with caveatsStatistical Physicist

CRIT-01 RESOLVED: 10D → 8D state vector (Ψ and φ now observables). CRIT-02 PARTIALLY RESOLVED: jump kernel formalized. γ_conf sigmoid form APPROVED.

v0.5.1April 8, 2026Approved with caveatsEvolutionary Psychologist

9/13 Θ_fixed defined. HYBRID floor+overlay model for evolutionary constants. Cooperation invariance (Spadaro 2022: 70 societies) — STRONGEST finding.

v0.5.0April 7, 2026Approved with caveatsPolitical Scientist

Institutional vector I_t = (R_t, V_t, B_t, P_t, X_t) fully defined. Per-equation drift modulations A_1–A_8 with institutional constraints. π_path=0.96; δ_prop specified.

v0.4.0April 7, 2026Approved with caveatsBayesian Statistician

Bayesian Confidence Architecture defined (Section 6). Prior catalog: 12 informative + 8 placeholder. First prediction: NATO exit P=2.5% [0.5%, 8%] vs market 10%.

v0.3.0April 6, 2026Approved with caveatsCliodynamicist

8 macro parameters defined: λ_0, Ψ_threshold, Ψ_critical, k_jump (jump process); T_secular (secular cycles); E_threshold (elite overproduction); F_fiscal; α_war. 5 Philosopher fixes applied.

v0.2.0April 6, 2026Approved with caveatsBehavioral Neuroscientist

14 micro-parameters defined. 4 critical parameters: λ (loss aversion), β_td (temporal discounting), γ_conf (conformity), α_auth (authority deference). 3 parameters flagged as replication failures.

v0.1.0April 6, 2026Approved with caveatsStatistical Physicist

Full FP+jump formalization. 10D state vector formalized. Three order parameters (PSI, phi, Gamma) defined. Turchin-PSI connection established.

v0.0.1April 6, 2026Approved with caveatsStatistical Physicist

Framework skeleton: Fokker-Planck + jump process architecture. 10D state vector proposed. PSI composite index architecture sketched.